Yan Liu

 

Research Staff Member

Data Analytic Group

IBM T.J. Watson Research Center

 

Email:removeityanliu.cmuremoveit@gmail.com



 I am currently a research staff member in the Data Analytic Group in IBM T.J. Watson Research Center. Before that, I was a PhD student at Language Technologies Institute, a part of School of Computer Science in Carnegie Mellon University working with Prof Jaime Carbonell.

 

 

Research Interest

I am interested in developing machine learning and data mining algorithms with applications to business intelligence, computational biology, climate modeling and human computer interaction.

 

 What’s new

 

·        I am co-organizing the 1st Workshop on Large-scale Data Mining: Theory and Applications (LDMTA 2009)

·        I am co-organizing IBM "Statistical Machine Learning and its Application (SMiLe)" Student Open House

·        We are the winner of KDD Cup 2009

Recent publications (A complete publication (relatively J) can be accessed here)

  • Y.Liu, A. Niculescu-Mizil, W. Gryc. Topic-Link LDA: Joint Models of Topic and Author Community. International conference on Machine Learning  (ICML’09), 2009 [PDF].

 

  • Y. Liu, J.R. Kalagnanam, O. Johnsen. Learning Dynamic Temporal Graphs for Oil-production Equipment Monitoring System. International Conference on Knowledge Discovery and Data Mining (KDD' 09), 2009 [PDF].

 

  • A. Lozano, H. Li, A. Niculescu-Mizil, Y. Liu, C. Perlich, J. Hosking, N. Abe. Spatial-temporal causal modeling for climate change attribution. International Conference on Knowledge Discovery and Data Mining (KDD' 09), 2009 [PDF].

 

  • A.C. Lozano, N. Abe, Y. Liu, S. Rosset.  Grouped Graphical Granger Modeling Methods for Temporal Causal Modeling. International Conference on Knowledge Discovery and Data Mining (KDD' 09), 2009 [PDF].

 

  • A.C. Lozano, N. Abe, Y. Liu, S. Rosset. Grouped Graphical Granger Modeling for Gene Expression Regulatory Networks Discovery. International Conference on Intelligent Systems for Molecular Biology (ISMB’09), 2009 [PDF].

 

  • Y. Liu, P. Hsueh, J. Lai, M. Sangin, M.A. Nussli, P. Dillenbourg. Who is the Expert? Analyzing Gaze Data to Predict Expertise Level in Collaborative Applications. International Conference on Multimedia & Expo (ICME’09), 2009 [PDF].

 

  • T. Ide, A. Lozano, N. Abe, Y. Liu. Proximity-Based Anomaly Detection using Sparse Structure Learning. SIAM Conference on Data Mining (SDM’09), 2009 [PDF].